“Our existing architecture struggled to keep up with the data demands of our rapidly growing business environment and had structural limitations across the collection, storage, analysis and governance of large volumes of data."
"Databricks allows us to quickly process and analyze data, run machine learning, support both batch and streaming, and most importantly, scale on-demand."
“In order to build the ML systems necessary for personalized fantasy sports recommendations, real-time fraud detection and operational efficiency, Dream11 needed a centralized, highly reliable and data scientist friendly machine learning platform that could scale a massive and sudden surge of data seamlessly across all our entities at speed.”
“Databricks separates compute and storage so we can build our lakehouse in Delta Lake, while allowing engineering teams to focus on data-driven products rather than specific BI tools."
“With Databricks, we can achieve what was previously impossible — secure access and control, enabling faster deployment of use cases, increased productivity and cost efficiency without the need for additional manpower resources."
“Efficient data management is critical to adding value to our data. Previously, on the legacy structure, stakeholders were not comfortable with our access to the data, so we couldn’t use it. That barred us from applying data in decision-making and innovating data science.”
“We wanted to use different kinds of large language models (LLMs) and have the flexibility to plug and play, which is where Databricks excels. And because of how strong Databricks is with data engineering and management features, we can build a whole workflow of ETL, data cleaning and vectorization.”
“AI/BI Genie is the key to our data democratization strategy. It ensures that everyone, regardless of their background, can access the insights they need to perform at their best.”
“Even business analysts had to learn SQL, It took them significant time to construct queries, limiting how deeply they could analyze the data.”
“We were constantly answering questions or helping build queries.”
“Moving forward, generative AI will have a significant role in freeing auditors from administrative tasks. Databricks is the partner of choice for that.”
“The ability to say that we’re developing GenAI in our secure environment and without data leaving our control is incredibly significant.”
“Databricks has significantly improved our data capabilities to influence use case successes directly. We are moving faster and we’re creating a foundation for continuous banking innovation.”
“Databricks enables Heathrow to understand future passenger volumes and plan accordingly, resulting in cost-effective operations and improved customer satisfaction.”
“When performing a big job or model training, we can throw a lot at that cloud computation, depending on the job, then wind it down accordingly. These remote computations are important to streamline model training across the airport business functions and teams.”